The Role of Minimal Complexity Functions in Unsupervised Learning of
Semantic Mappings

The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings

31 August 2017

Lior Wolf

Sagie Benaim

Papers citing "The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings"

7 / 7 papers shown

Title
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation Zili Yi Hao Zhang P. Tan Minglun Gong GAN VLM 125 1,941 0 08 Apr 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks Taeksoo Kim Moonsu Cha Hyunsoo Kim Jung Kwon Lee Jiwon Kim GAN OOD 89 1,979 0 15 Mar 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 339 4,626 0 10 Nov 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 178 2,339 0 12 Aug 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 157 4,235 0 12 Jun 2016
Fast ConvNets Using Group-wise Brain Damage V. Lebedev Victor Lempitsky AAML 175 449 0 08 Jun 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 375 9,497 0 28 May 2015